This paper is concerned with the finite-horizon filtering estimation problem by using the reductive information of the true quantized measurements from the measurements. We consider the case where quantizer is logarithmic, an upper bound of the estimation error covariance is derived for all the quantized measurements. The calculation of the filter involves solving two Riccati recursions related to the quantized measurements.

Relation

8th World Congress on Intelligent Control and Automation (WCICA 2010). Proceedings of the 8th World Congress on Intelligent Control and Automation (Jinan, China 7-9 July, 2010) p. 900-903